Data Analyst

This role is for one of the Weekday's clients

Salary range: Rs 700000 - Rs 1200000 (ie INR 7-12 LPA)

Min Experience: 1 years

Location: Bengaluru

JobType: full-time

We are seeking a detail-oriented and analytical Data Analyst with 1–3 years of hands-on experience in data analytics, database management, and reporting. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to help drive data-informed decisions across the business. Your expertise in SQL and Python will be key to building scalable data pipelines, running ad-hoc queries, generating actionable insights, and automating reporting processes.

This is an exciting opportunity to work closely with cross-functional teams such as Product, Engineering, Marketing, and Operations to solve real business problems using data. The ideal candidate is passionate about data, enjoys working with numbers, and is excited to contribute to data-driven strategy and operational excellence.

Requirements

Key Responsibilities:

• Extract, clean, and analyze structured and unstructured data from various sources using SQL and Python.
• Develop and maintain dashboards, reports, and visualizations to communicate key business metrics.
• Work with stakeholders to define KPIs and create automated data pipelines to track performance over time.
• Translate business requirements into technical specifications and analytical queries.
• Perform exploratory data analysis (EDA) to identify trends, correlations, and outliers.
• Support A/B testing and experimental design by analyzing results and generating insights.
• Collaborate with engineering teams to ensure data integrity, quality, and accessibility.
• Document data definitions, processes, and analysis workflows for transparency and reproducibility.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
• 1–3 years of professional experience in a data analyst or similar role.
• Strong proficiency in writing efficient and optimized SQL queries for data extraction and manipulation.
• Solid experience with Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn, etc.).
• Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Understanding of data wrangling, cleaning, and preprocessing techniques.
• Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical mindset with the ability to translate data into business insights.
• Excellent communication skills with the ability to present findings clearly to technical and non-technical stakeholders.

Good to Have (Not Mandatory):

• Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Exposure to version control systems like Git.
• Understanding of basic statistics and hypothesis testing.
• Knowledge of APIs and data integration techniques.